Reduction of Physiological Metric Error Due to Inertial Cadence

• US 20150018636A1
• Filed: 12/24/2012
• Published: 01/15/2015
• Est. Priority Date: 01/16/2012
• Status: Active Grant

• Current Assignee: Yukka Magic LLC
• Original Assignee: Valencell, Inc.
• Inventors: Romesburg, Eric Douglas
• Granted Patent: US 10,349,844 B2
• Time in Patent Office: Days
• US Class Current: 600/301
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A61B 5/024 Detecting, measuring or recording pulse rate or heart rate A61B5/0205, A61B5/021 take precedence
• CPC Class Codes: A61B 5/112 Gait analysis
• CPC Class Codes: A61B 5/6817 Ear canal
• CPC Class Codes: A61B 5/721 using a separate sensor to detect motion or using motion information derived from signals other than the physiological signal to be measured
• CPC Class Codes: A63B 2220/17 Counting, e.g. counting periodical movements, revolutions or cycles, or including further data processing to determine distances or speed
• CPC Class Codes: A63B 2230/04 heartbeat characteristics, e.g. ECG, blood pressure modulations

Abstract

The heart rate monitor disclosed herein removes a step rate component from a measured heart rate by using one or more filtering techniques when the step rate is close to the heart rate. In general, a difference between the step rate and the heart rate is determined, and the step rate is filtered from the heart rate based on a function of the difference.

Claims

1. A heart rate monitor comprising:

a step rate sensor;

a step rate processor configured to compute a step rate of a user based on a first waveform provided by the step rate sensor;

a heart rate sensor;

a heart rate processor configured to compute a first heart rate of the user based on a second waveform provided by the heart rate sensor; and

a noise processor configured to;

compute a difference between the step rate and the first heart rate;

compute a second heart rate as a function of the difference; and

output the second heart rate.

2. A method of reducing noise in data output by a physiological monitor, the method comprising:

computing an inertial cadence of a user based on an inertial waveform provided by an inertial sensor in the physiological monitor;

computing a first physiological metric of the user based on a physiological waveform provided by a physiological sensor in the physiological monitor;

computing a difference between the inertial cadence and the first physiological metric;

computing a second physiological metric as a function of the difference; and

outputting the second physiological metric.

3. The method of claim 2 further comprising computing a difference between the inertial waveform and the physiological waveform to generate a modified waveform, wherein computing the first physiological metric comprises computing the first physiological metric based on the modified waveform.

4. The method of claim 2 wherein computing the first physiological metric comprises computing an instantaneous physiological metric based on the physiological waveform.

5. The method of claim 2 wherein computing the first physiological metric further comprises computing the first physiological metric based on a combination of two or more dominant signals in said physiological waveform when the first physiological metric is within a crossover window relative to the inertial cadence.

6. The method of claim 5 wherein computing the first physiological metric based on the combination further comprises computing the first physiological metric based on the combination of the two or more dominant signals in said physiological waveform when the inertial cadence falls between at least two of the dominant signals.

7. The method of claim 2 wherein computing the first physiological metric comprises computing the first physiological metric based on a combination of two or more dominant signals in said physiological waveform when at least one of the dominant signals is within a crossover window relative to the inertial cadence.

8. The method of claim 7 wherein computing the first physiological metric based on the combination further comprises computing the first physiological metric based on the combination of the two or more dominant signals when the inertial cadence falls between two of the dominant signals.

9. The method of claim 2 wherein computing the second physiological metric comprises computing a filtered physiological metric as a function of the difference between the inertial cadence and the first physiological metric.

10. The method of claim 2 wherein computing the second physiological metric as a function of the difference between the inertial cadence and the first physiological metric comprises:

comparing the first physiological metric to a current filtered physiological metric;

revising the first physiological metric by computing a revised filtered physiological metric as a function of the current filtered physiological metric and a rate limit based on the comparison between the first physiological metric and the current filtered physiological metric;

if the revised filtered physiological metric is within a crossover window relative to the inertial cadence, computing the second physiological metric as a function of a difference between the revised filtered physiological metric and the inertial cadence; and

else, setting the second physiological metric equal to revised filtered physiological metric.

11. The method of claim 10 further comprising updating a lock count based on whether the second physiological metric is within a crossover window relative to the inertial cadence, wherein computing the second physiological metric as a function of the difference between the inertial cadence and the first physiological metric comprises selecting a filter responsive to a comparison between the lock count and a threshold, and further computing the second physiological metric as a function of the selected filter.

12. The method of claim 2 wherein computing the second physiological metric as a function of the difference between the inertial cadence and the first physiological metric comprises:

if the first physiological metric is within a crossover window relative to the inertial cadence, computing the second physiological metric as a function of a difference between the first physiological metric and the inertial cadence; and

else, setting the second physiological metric equal to the first physiological metric.

13. The method of claim 12 further comprising updating a lock count based on whether the filtered physiological metric is within a crossover window relative to the inertial cadence, wherein computing the second physiological metric as a function of the difference between the inertial cadence and the first physiological metric comprises selecting a filter responsive to a comparison between the lock count and a threshold, and further computing the second physiological metric as a function of the selected filter.

14. The method of claim 2 further comprising updating a lock count based on whether the first physiological metric is within a crossover window relative to the inertial cadence, wherein computing the second physiological metric as a function of the difference between the inertial cadence and the first physiological metric comprises selecting a filter responsive to a comparison between the lock count and a threshold and computing the second physiological metric as a function of the selected filter.

15. The method of claim 2 wherein computing the second physiological metric as a function of the difference between the inertial cadence and the first physiological metric comprises selecting a filter responsive to a comparison between the difference and a threshold and computing the second physiological metric as a function of the selected filter.

16. The method of claim 2 wherein the first physiological metric comprises an initial filtered physiological metric.

17. The method of claim 16 wherein computing the first physiological metric comprises retrieving a previously computed filtered physiological metric and setting the initial filtered physiological metric equal to the previously computed filtered physiological metric.

18. The method of claim 16 further comprising computing an instantaneous physiological metric based on the physiological waveform, wherein computing the first physiological metric comprises computing the initial filtered physiological metric as a function of the instantaneous physiological metric.

19. The method of claim 16 wherein the second physiological metric comprises a subsequently filtered physiological metric.

20. The method of claim 19 wherein computing the second physiological metric as a function of the difference between the inertial cadence and the first physiological metric comprises:

comparing the first physiological metric to an instantaneous physiological metric computed based on the physiological waveform;

computing a revised filtered physiological metric as a function of the instantaneous physiological metric and a rate limit based on the comparison between the instantaneous physiological metric and the first physiological metric;

if the revised filtered physiological metric is within a crossover window relative to the inertial cadence, computing the second physiological metric as a function of a difference between the revised filtered physiological metric and the inertial cadence; and

else, setting the second physiological metric equal to revised filtered physiological metric.

21. The method of claim 20 further comprising updating a lock count based on whether the second physiological metric is within a crossover window relative to the inertial cadence, wherein computing the second physiological metric as a function of the difference between the inertial cadence and the first physiological metric further comprises selecting a filter responsive to a comparison between the lock count and a threshold and computing the second physiological metric as a function of the selected filter.

22. The method of claim 2 wherein the inertial cadence comprises a step rate.

23. The method of claim 2 wherein the physiological metric comprises a heart rate.

24. A physiological monitor comprising:

an inertial sensor;

an inertial processor configured to compute a inertial cadence of a user based on an inertial waveform provided by the inertial sensor;

a physiological sensor;

a physiological processor configured to compute a first physiological metric of the user based on a physiological waveform provided by the physiological sensor; and

a noise processor configured to;

compute a difference between the inertial cadence and the first physiological metric;

compute a second physiological metric as a function of the difference; and

output the second physiological metric.

25. The physiological monitor of claim 24 wherein the physiological processor is further configured to compute a difference between the inertial waveform and the physiological waveform to generate a modified waveform, wherein the physiological processor computes the first physiological metric based on the modified waveform.

26. The physiological monitor of claim 24 wherein the physiological processor computes the first physiological metric by computing an instantaneous physiological metric based on the physiological waveform.

27. The physiological monitor of claim 24 wherein the physiological processor is further configured to compute the first physiological metric based on a combination of two or more dominant signals in said physiological waveform when the first physiological metric is within a crossover window relative to the inertial cadence.

28. The physiological monitor of claim 27 wherein the physiological processor is further configured to compute the first physiological metric based on the combination of the two or more dominant signals in said physiological waveform when the inertial cadence falls between at least two of the dominant signals.

29. The physiological monitor of claim 24 wherein the physiological processor is further configured to compute the first physiological metric based on a combination of two or more dominant signals in said physiological waveform when at least one of the dominant signals is within a crossover window relative to the inertial cadence.

30. The physiological monitor of claim 29 wherein the physiological processor computes the first physiological metric based on the combination by computing the first physiological metric based on the combination of the two or more dominant signals when the inertial cadence falls between two of the dominant signals.

31. The physiological monitor of claim 24 the physiological processor comprises a filter configured to compute a filtered physiological metric as a function of the difference between the inertial cadence and the first physiological metric.

32. The physiological monitor of claim 24 wherein the physiological processor is further configured to compare the first physiological metric to a current filtered physiological metric, said physiological processor comprising a filter configured to revise the first physiological metric by computing a revised filtered physiological metric as a function of the current filtered physiological metric and a rate limit based on the comparison between the first physiological metric and the current filtered physiological metric, and wherein the noise processor is configured to:

if the revised filtered physiological metric is within a crossover window relative to the inertial cadence, compute the second physiological metric as a function of a difference between the revised filtered physiological metric and the inertial cadence; and

else, set the second physiological metric equal to revised filtered physiological metric.

33. The physiological monitor of claim 32 wherein the noise processor is further configured to update a lock count based on whether the second physiological metric is within a crossover window relative to the inertial cadence, wherein the noise processor computes the second physiological metric as a function of the difference between the inertial cadence and the first physiological metric by selecting a filter responsive to a comparison between the lock count and a threshold, and computing the second physiological metric as a function of the selected filter.

34. The physiological monitor of claim 24 wherein the noise processor computes the second physiological metric as a function of the difference between the inertial cadence and the first physiological metric by:

if the first physiological metric is within a crossover window relative to the inertial cadence, computing the second physiological metric as a function of a difference between the first physiological metric and the inertial cadence; and

else, setting the second physiological metric equal to the first physiological metric.

35. The physiological monitor of claim 34 wherein the noise processor is further configured to update a lock count based on whether the filtered physiological metric is within a crossover window relative to the inertial cadence, wherein the noise processor computes the second physiological metric as a function of the difference between the inertial cadence and the first physiological metric by selecting a filter responsive to a comparison between the lock count and a threshold, and computing the second physiological metric as a function of the selected filter.

36. The physiological monitor of claim 24 wherein the noise processor is further configured to update a lock count based on whether the first physiological metric is within a crossover window relative to the inertial cadence, wherein the noise processor computes the second physiological metric as a function of the difference between the inertial cadence and the first physiological metric by selecting a filter responsive to a comparison between the lock count and a threshold and computing the second physiological metric as a function of the selected filter.

37. The physiological monitor of claim 24 wherein the noise processor computes the second physiological metric as a function of the difference between the inertial cadence and the first physiological metric by selecting a filter responsive to a comparison between the difference and a threshold and computing the second physiological metric as a function of the selected filter.

38. The physiological monitor of claim 24 wherein the first physiological metric comprises an initial filtered physiological metric.

39. The physiological monitor of claim 38 wherein the physiological processor computes the first physiological metric by retrieving a previously computed filtered physiological metric from a memory and setting the initial filtered physiological metric equal to the previously computed filtered physiological metric.

40. The physiological monitor of claim 38 wherein the physiological processor comprises a spectral transformer configured to compute an instantaneous physiological metric based on the physiological waveform, wherein the physiological processor computes the first physiological metric by computing the initial filtered physiological metric as a function of the instantaneous physiological metric.

41. The physiological monitor of claim 38 wherein the second physiological metric comprises a subsequently filtered physiological metric.

42. The physiological monitor of claim 41 wherein the physiological processor is further configured to compare the first physiological metric to an instantaneous physiological metric computed based on the physiological waveform, said physiological processor comprising a filter configured to compute a revised filtered physiological metric as a function of the instantaneous physiological metric and a rate limit based on the comparison between the instantaneous physiological metric and the first physiological metric, and wherein the noise processor is configured to:

if the revised filtered physiological metric is within a crossover window relative to the inertial cadence, compute the second physiological metric as a function of a difference between the revised filtered physiological metric and the inertial cadence; and

else, set the second physiological metric equal to revised filtered physiological metric.

43. The physiological monitor of claim 42 wherein the noise processor is further configured to update a lock count based on whether the second physiological metric is within a crossover window relative to the inertial cadence, wherein the noise processor computes the second physiological metric as a function of the difference between the inertial cadence and the first physiological metric further by selecting a filter responsive to a comparison between the lock count and a threshold and computing the second physiological metric as a function of the selected filter.

44. The physiological monitor of claim 24 wherein the inertial cadence comprises a step rate.

45. The physiological monitor of claim 24 wherein the physiological metric comprises a heart rate.